mzarnecki / php-rag
This application uses LLMs like DeepSeek, GPT-4o, Claude, Gemini2 or Llama, Mixtral (locally) in order to generate text based on the user input. The user input is used to retrieve relevant information from the database and then the retrieved information is used to generate the text. This approach combines power of LLMs and access to source documen
RepositoryStats indexes 630,459 repositories, of these mzarnecki/php-rag is ranked #550,504 (13th percentile) for total stargazers, and #480,560 for total watchers. Github reports the primary language for this repository as PHP, for repositories using this language it is ranked #14,560/15,734.
There have been 3 releases, the latest one was published on 2025-02-27 (24 days ago)
Homepage URL: https://medium.com/@michalzarnecki88/a-guide-to-using-llm-retrieval-augmented-generation-with-php-3bff25ce6616
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134 commits on the default branch (main) since jan '22
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The primary language is PHP but there's also others...
updated: 2025-03-14 @ 07:28am, id: 804026875 / R_kgDOL-x5-w